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» Optimal edge-based shape detection
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GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
13 years 8 months ago
Automatic circle detection on images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a recently developed swarm-intellige...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...
CVPR
2009
IEEE
15 years 2 months ago
Learning Rotational Features for Filament Detection
State-of-the-art approaches for detecting filament-like structures in noisy images rely on filters optimized for signals of a particular shape, such as an ideal edge or ridge. W...
François Fleuret, Germán Gonzá...
IEEECGIV
2009
IEEE
13 years 5 months ago
General Shape Grammar Interpreter for Intelligent Designs Generations
Shape grammars play an important role in a new generation of tools for the analysis and design of products. In this work we present a general tool named Shape Grammar Interpreter (...
Tomas Trescak, Inmaculada Rodríguez, Marc E...
IPMI
2007
Springer
14 years 8 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
ICIP
2002
IEEE
14 years 9 months ago
A recursive shape error concealment algorithm
The encoding of shape information is a distinguishing feature of MPEG-4. In error prone communication networks, it is important and efficient to conceal shape errors spatially, so...
Guido M. Schuster, Xiaohuan Li, Aggelos K. Katsagg...